Research on Radar Emitter Identification Algorithm Based on Coupled Recurrent Network

This article analyzes the operational characteristics of two deep learning algorithms, Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN), and proposes a radar radiation source recognition method based on Coupled Recurrent Network (CRN). Its feasibility is verified through simulation experiments. When the signal-to-noise ratio of the test set signal is 3dB, the algorithm still has a recognition rate of 82.73% for the signal, while when the signal-to-noise ratio of the test set signal is greater than or equal to 5dB, the recognition rate of the algorithm for signals exceeds 94.70%.